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MLOps with Red Hat OpenShift

You're reading from MLOps with Red Hat OpenShift

Product type Book

Published in Jan 2024

Publisher Packt

ISBN-13 9781805120230

Pages 238 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Ross Brigoli

Faisal Masood

View More author details

Table of Contents (13) Chapters

Preface

Part 1: Introduction

Chapter 1: Introduction to MLOps and OpenShift

Part 2: Provisioning and Configuration

Chapter 2: Provisioning an MLOps Platform in the Cloud

Chapter 3: Building Machine Learning Models with OpenShift

Part 3: Operating ML Workloads

Chapter 4: Managing a Model Training Workflow

Chapter 5: Deploying ML Models as a Service

Chapter 6: Operating ML Workloads

Chapter 7: Building a Face Detector Using the Red Hat ML Platform

Index

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Provisioning an S3 store

ML loves data. A lot of data! S3-compatible object storage software is becoming the de facto standard for storing and retrieving unstructured data at scale and is available on all three big cloud vendors. You can leverage Kubernetes-native open source tools such as MinIO to provision an S3-compatible object store on your OpenShift cluster. MinIO is a high-performance, S3-compatible object store that can be deployed on OpenShift, through which you can use it on-premises and in the cloud.

Red Hat also provides an integrated storage component on the OpenShift platform, named Open Data Foundation, that provides an S3-compatible API. Any standard S3-compatible object storage product will work with ODS. For this book, we’ve chosen MinIO for simplicity. So, let’s start by installing MinIO on the OpenShift platform.

From the code repository for this book, go to the chapter3 folder and find the minio-complete.yaml file. The following steps show how...

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Authors (2)

Ross Brigoli

Ross Brigoli is a consulting architect at Red Hat, where he focuses on designing and delivering solutions around microservices architecture, DevOps, and MLOps with Red Hat OpenShift for various industries. He has two decades of experience in software development and architecture.

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Faisal Masood

Faisal Masood is a cloud transformation architect at AWS. Faisal's focus is to assist customers in refining and executing strategic business goals. Faisal main interests are evolutionary architectures, software development, ML lifecycle, CD and IaC. Faisal has over two decades of experience in software architecture and development.

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